John C. Moad

454 total citations
11 papers, 317 citations indexed

About

John C. Moad is a scholar working on Pathology and Forensic Medicine, Dermatology and Oncology. According to data from OpenAlex, John C. Moad has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 5 papers in Dermatology and 5 papers in Oncology. Recurrent topics in John C. Moad's work include Cancer and Skin Lesions (3 papers), Genetic and rare skin diseases. (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). John C. Moad is often cited by papers focused on Cancer and Skin Lesions (3 papers), Genetic and rare skin diseases. (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). John C. Moad collaborates with scholars based in United States, Pakistan and Belgium. John C. Moad's co-authors include Maria‐Magdalena Tomaszewski, George P. Lupton, Michael N. Kent, Thomas G. Olsen, Elisabeth Koller, John B. Tourtelot, Susan L. Abbondanzo, Nadine S. Aguilera, Frank Bauer and Jeffery K. Taubenberger and has published in prestigious journals such as Journal of the American Academy of Dermatology, The Annals of Thoracic Surgery and Modern Pathology.

In The Last Decade

John C. Moad

9 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John C. Moad United States	7	167	112	100	75	71	11	317
Patrick Michenet France	12	101 0.6×	128 1.1×	226 2.3×	48 0.6×	35 0.5×	60	445
M. H. Edwina Doting Netherlands	9	231 1.4×	48 0.4×	142 1.4×	115 1.5×	14 0.2×	14	442
H.D. Zakhour United Kingdom	10	58 0.3×	65 0.6×	134 1.3×	39 0.5×	47 0.7×	22	336
Aaron Chevinsky United States	9	147 0.9×	22 0.2×	38 0.4×	58 0.8×	12 0.2×	19	275
Caroline Rubin United Kingdom	11	84 0.5×	77 0.7×	140 1.4×	42 0.6×	35 0.5×	28	376
N Mozzillo Italy	13	418 2.5×	104 0.9×	11 0.1×	103 1.4×	20 0.3×	38	639
D. N. Rana United Kingdom	12	140 0.8×	12 0.1×	39 0.4×	184 2.5×	62 0.9×	36	478
Zelig H. Lieberman United States	8	189 1.1×	26 0.2×	23 0.2×	94 1.3×	13 0.2×	12	304
Chiara Baldovini Italy	10	81 0.5×	24 0.2×	43 0.4×	57 0.8×	12 0.2×	24	261
Alan Heimann United States	10	56 0.3×	13 0.1×	40 0.4×	51 0.7×	27 0.4×	27	234

Countries citing papers authored by John C. Moad

Since Specialization

Citations

This map shows the geographic impact of John C. Moad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John C. Moad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Moad more than expected).

Fields of papers citing papers by John C. Moad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Moad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John C. Moad. The network helps show where John C. Moad may publish in the future.

Co-authorship network of co-authors of John C. Moad

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Moad. A scholar is included among the top collaborators of John C. Moad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John C. Moad. John C. Moad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Moad, John C., et al.. (2023). Reddish-brown, papulonodular skin lesions in the periungual region. Dermatology Online Journal. 29(1).

2.

Moad, John C., et al.. (2023). Subcorneal Pustular Dermatosis Following SARS-CoV-2 Infection.. PubMed. 106(10). 51–53.

3.

Olsen, Thomas G., et al.. (2018). Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology. Journal of Pathology Informatics. 9(1). 32–32. 87 indexed citations

4.

Kent, Michael N., et al.. (2017). Diagnostic Accuracy of Virtual Pathology vs Traditional Microscopy in a Large Dermatopathology Study. JAMA Dermatology. 153(12). 1285–1285. 41 indexed citations

5.

Moad, John C., et al.. (2010). Multiple Papules and Nodules of the Scalp—Quiz Case. Archives of Dermatology. 146(8). 911–6. 6 indexed citations

6.

Moad, John C., et al.. (2009). Asymptomatic, Edematous Upper Lip in a 39-Year-Old Woman—Quiz Case. Archives of Dermatology. 145(1). 77–82. 1 indexed citations

7.

Aguilera, Nadine S., Maria‐Magdalena Tomaszewski, John C. Moad, et al.. (2001). Cutaneous Follicle Center Lymphoma: A Clinicopathologic Study of 19 Cases. Modern Pathology. 14(9). 828–835. 42 indexed citations

8.

Tomaszewski, Maria‐Magdalena, John C. Moad, & George P. Lupton. (1999). Primary cutaneous Ki-1(CD30) positive anaplastic large cell lymphoma in childhood. Journal of the American Academy of Dermatology. 40(5). 857–861. 44 indexed citations

9.

Koller, Elisabeth, et al.. (1998). Papillary and Follicular Thyroid Carcinoma Metastatic to the Skin: A Case Report and Review of the Literature. Thyroid. 8(11). 1045–1050. 72 indexed citations

10.

Scollard, David M., et al.. (1992). Immune complexes and antibody levels in blisters over human leprosy skin lesions with or without erythema nodosum leprosum. Clinical Immunology and Immunopathology. 63(3). 230–236. 12 indexed citations

11.

Moad, John C., et al.. (1991). Carcinosarcoma of the lung with hypertrophic pulmonary osteoarthropathy. The Annals of Thoracic Surgery. 51(3). 488–490. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact